# Building Trainline’s AI Travel Assistant: How a 25-Year-Old Company Went Agentic Page: https://stenobird.com/podcast/just-now-possible-7481489/building-trainline-s-ai-travel-assistant-how-a-25-year-old-company-went-agentic Text version: https://stenobird.com/podcast/just-now-possible-7481489/building-trainline-s-ai-travel-assistant-how-a-25-year-old-company-went-agentic.md Podcast: [Just Now Possible](https://stenobird.com/podcast/just-now-possible-7481489) Published: 2025-10-30T08:00:00+00:00 Episode link: https://justnowpossible.podigee.io/8-building-trainline-ai-travel-assistant Audio file: https://audio.podigee-cdn.net/2177577-m-435418cc277bf7776eb5174c259a7edc.mp3?source=feed Processing state: not_requested JSON: https://stenobird.com/v1/public/podcasts/just-now-possible-7481489/episodes/building-trainline-s-ai-travel-assistant-how-a-25-year-old-company-went-agentic Duration seconds: 4114 ## Resource Trainline—the world’s leading rail and coach platform—helps millions of travelers get from point A to point B. Now, they’re using AI to make every step of the journey smoother. In this episode, Teresa Torres talks with David Eason (Principal Product Manager) Billie Bradley (Product Manager), and Matt Farrelly (Head of AI and Machine Learning) from Trainline about how they built Travel Assistant, an AI-powered travel companion that helps customers navigate disruptions, find real-time answers, and travel with confidence. They share how they: - Identified underserved traveler needs beyond ticketing - Built a fully agentic system from day one, combining orchestration, tools, and reasoning loops - Designed layered guardrails for safety, grounding, and human handoff - Expanded from 450 to 700,000 curated pages of information for retrieval - Developed LLM-as-judge evals and a custom user context simulator to measure quality in real-time - Balanced latency, UX, and reliability to make AI assistance feel trustworthy on the go It’s a behind-the-scenes look at how an established company is embracing new AI architectures to serve customers at scale. ## Actions - request_transcript: `POST https://stenobird.com/v1/public/podcasts/just-now-possible-7481489/episodes/building-trainline-s-ai-travel-assistant-how-a-25-year-old-company-went-agentic/transcription-requests` — Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/just-now-possible-7481489/building-trainline-s-ai-travel-assistant-how-a-25-year-old-company-went-agentic.md` — Read the agent-friendly Markdown representation of this episode resource. A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed. ## Transcript Full transcripts are not published on public pages unless there is a clear rights basis.